Inception Unveils Revolutionary Diffusion-Based AI Model (DLM) for Faster, Cheaper Text Generation
Inception emerges with DLM, a novel AI model using diffusion technology, claiming 10x faster and cheaper text generation than traditional LLMs.
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Inception Unveils Revolutionary Diffusion-Based AI Model (DLM) for Faster, Cheaper Text Generation
Inception, a new Palo Alto-based company started by Stanford computer science professor Stefano Ermon, claims to have developed a novel AI model based on “diffusion” technology. Inception calls it a diffusion-based large language model, or a “DLM” for short. Image Credits:Inception The generative AI models receiving the most attention now can be broadly divided into two types: large language models (LLMs) and diffusion models. LLMs are used for text generation. Meanwhile, diffusion models, which power AI systems like Midjourney and OpenAI’s Sora, are mainly used to create images, video, and audio. Inception’s model offers the capabilities of traditional LLMs, including code generation and question-answering, but with significantly faster performance and reduced computing costs, according to the company. Ermon told that he has been studying how to apply diffusion models to text for a long time in his Stanford la…
